6533b7d8fe1ef96bd126987f

RESEARCH PRODUCT

Texture Synthesis for Digital Restoration in the Bit-Plane Representation

Haris DindoGiuseppe MazzolaEdoardo Ardizzone

subject

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniPixelbusiness.industryStochastic processComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONFilmsHistoric preservationImage enhancementInternetRestorationTexturesGrayscaleImage textureComputer Science::Computer Vision and Pattern RecognitionComputer visionAlgorithm designArtificial intelligencebusinessImage restorationTexture synthesisMathematicsBit plane

description

In this paper we propose a new approach to handle the problem of restoration of grayscale textured images. The purpose is to recovery missing data of a damaged area. The key point is to decompose an image in its bit-planes, and to process bits rather than pixels. We propose two texture synthesis methods for restoration. The first one is a random generation process, based on the conditional probability of bits in the bit-planes. It is designed for images with stochastic textures. The second one is a best-matching method, running on each bit-plane, that is well suited to synthesize periodic patterns. Results are compared with a state-of-the-art restoration algorithm.

yearjournalcountryeditionlanguage
2007-12-012007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System
https://doi.org/10.1109/sitis.2007.84